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Record W2312580919 · doi:10.5509/2015881123

Paths of Integration for Sexual Minorities in Korea

2015· article· en· W2312580919 on OpenAlexvenueno aff
Joseph Yi, Joe Phillips

Bibliographic record

VenuePacific Affairs · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceGender studiesSociology

Abstract

fetched live from OpenAlex

The prevailing social model among the LGBT (Lesbian, Gay, Bisexual, Transgender) in South Korea is to maintain somewhat sexually free but separate social enclaves. This strategy avoids significant public backlash and government oppression. However, the situation leaves them without legal protection, social acceptance or significant public space for expressing their sexual identity. Supporters of greater integration pursue a politically activist model, which advocates government recognition and protection of the LGBT as an oppressed minority. This strategy faces determined opposition from some Christian groups and a mostly indifferent public. We highlight a complementary “bridging-dialogue” model in which individual LGBT persons nurture communicative social ties with members of the larger society in ostensibly non-political settings. Although emerging and limited, the bridging strategy attracts many more participants than does identity politics and generates genuine dialogue and other social exchange among different groups, including conservative Christians and foreign-origin LGBTs. Bridging dialogue also appeals to a younger generation of Koreans, who are more tolerant of and curious about ethnic and sexual diversity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0050.003
Open science0.0000.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.302
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2015
Admission routes1
Has abstractyes

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